Laser & Optoelectronics Progress, Volume. 52, Issue 5, 51003(2015)
Research about Method of Simulating True Color Image for Remote Sensing Image Lack of Blue Band
True color images can not be synthetized due to some remote sensing data missing blue band. A method of simulating true color remote sensing image is proposed. The MODIS land surface reflectivily product (MOD09) is used as reference image where to select pixel samples, and a non- linear regression analysis model is acquired through a back- propagation (BP) artificial neural network that used to fit the spectral reflectance relationship among the blue band and red, or green and near-infrared bands. Then Landsat TM/MSS and SPOT- 5 blue bands are simulated with the trained fitting model, and a natural- color image is acquired. The experimental result shows that using the BP neural network model, the blue band of a multispectral image is well simulated and even the atmospheric effect of the blue band is removed. Thus a more realistic and informative natural- color image is acquired. The research results further extend the research depth on remote sensing image band simulation model based on the image-image relationship.
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Xu Huixi, Chen Yunhao, Xue Wanrong. Research about Method of Simulating True Color Image for Remote Sensing Image Lack of Blue Band[J]. Laser & Optoelectronics Progress, 2015, 52(5): 51003
Category: Image Processing
Received: Nov. 10, 2014
Accepted: --
Published Online: Apr. 28, 2015
The Author Email: Huixi Xu (529382949@qq.com)